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There are probably more updated RL algorithms out there that are packed within established libraries, how can they be plugged directly into RL Card for advanced testing?
- https://github.com/openai/baselines?tab=readme-ov-file#subpackages
- https://github.com/google/dopamine
- https://github.com/DLR-RM/stable-baselines3?tab=readme-ov-file#implemented-algorithms
- https://github.com/vwxyzjn/cleanrl?tab=readme-ov-file#algorithms-implemented
- https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch?tab=readme-ov-file#algorithms-implemented
- https://github.com/google-deepmind/open_spiel/blob/master/docs/algorithms.md
- https://github.com/sweetice/Deep-reinforcement-learning-with-pytorch
- https://github.com/rail-berkeley/rlkit
- https://github.com/IntelLabs/coach?tab=readme-ov-file#supported-algorithms
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